{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "2*conv+2*conv+3*conv+3*conv+3*conv+3*Dense=16*layers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model_2\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input (InputLayer)           [(None, 224, 224, 3)]     0         \n",
      "_________________________________________________________________\n",
      "conv1_1 (Conv2D)             (None, 224, 224, 64)      1792      \n",
      "_________________________________________________________________\n",
      "conv1_2 (Conv2D)             (None, 224, 224, 64)      36928     \n",
      "_________________________________________________________________\n",
      "pool1 (MaxPooling2D)         (None, 112, 112, 64)      0         \n",
      "_________________________________________________________________\n",
      "conv2_1 (Conv2D)             (None, 112, 112, 128)     73856     \n",
      "_________________________________________________________________\n",
      "conv2_2 (Conv2D)             (None, 112, 112, 128)     147584    \n",
      "_________________________________________________________________\n",
      "pool2 (MaxPooling2D)         (None, 56, 56, 128)       0         \n",
      "_________________________________________________________________\n",
      "conv3_1 (Conv2D)             (None, 56, 56, 256)       295168    \n",
      "_________________________________________________________________\n",
      "conv3_2 (Conv2D)             (None, 56, 56, 256)       590080    \n",
      "_________________________________________________________________\n",
      "conv3_3 (Conv2D)             (None, 56, 56, 256)       590080    \n",
      "_________________________________________________________________\n",
      "pool3 (MaxPooling2D)         (None, 28, 28, 256)       0         \n",
      "_________________________________________________________________\n",
      "conv4_1 (Conv2D)             (None, 28, 28, 512)       1180160   \n",
      "_________________________________________________________________\n",
      "conv4_2 (Conv2D)             (None, 28, 28, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "conv4_3 (Conv2D)             (None, 28, 28, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "pool4 (MaxPooling2D)         (None, 14, 14, 512)       0         \n",
      "_________________________________________________________________\n",
      "conv5_1 (Conv2D)             (None, 14, 14, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "conv5_2 (Conv2D)             (None, 14, 14, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "conv5_3 (Conv2D)             (None, 14, 14, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "pool5 (MaxPooling2D)         (None, 7, 7, 512)         0         \n",
      "_________________________________________________________________\n",
      "average_pooling2d_1 (Average (None, 3, 3, 512)         0         \n",
      "=================================================================\n",
      "Total params: 14,714,688\n",
      "Trainable params: 14,714,688\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "input=tf.keras.layers.Input(shape=(224,224,3),name='input')\n",
    "\n",
    "conv1_1=tf.keras.layers.Conv2D(64,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv1_1')(input)\n",
    "conv1_2=tf.keras.layers.Conv2D(64,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv1_2')(conv1_1)\n",
    "pool1=tf.keras.layers.MaxPooling2D(pool_size=(2,2),strides=2,name='pool1')(conv1_2)\n",
    "\n",
    "conv2_1=tf.keras.layers.Conv2D(128,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv2_1')(pool1)\n",
    "conv2_2=tf.keras.layers.Conv2D(128,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv2_2')(conv2_1)\n",
    "pool2=tf.keras.layers.MaxPooling2D(pool_size=(2,2),strides=2,name='pool2')(conv2_2)\n",
    "\n",
    "conv3_1=tf.keras.layers.Conv2D(256,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv3_1')(pool2)\n",
    "conv3_2=tf.keras.layers.Conv2D(256,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv3_2')(conv3_1)\n",
    "conv3_3=tf.keras.layers.Conv2D(256,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv3_3')(conv3_2)\n",
    "pool3=tf.keras.layers.MaxPooling2D(pool_size=(2,2),strides=2,name='pool3')(conv3_3)\n",
    "\n",
    "conv4_1=tf.keras.layers.Conv2D(512,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv4_1')(pool3)\n",
    "conv4_2=tf.keras.layers.Conv2D(512,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv4_2')(conv4_1)\n",
    "conv4_3=tf.keras.layers.Conv2D(512,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv4_3')(conv4_2)\n",
    "pool4=tf.keras.layers.MaxPooling2D(pool_size=(2,2),strides=2,name='pool4')(conv4_3)\n",
    "\n",
    "\n",
    "conv5_1=tf.keras.layers.Conv2D(512,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv5_1')(pool4)\n",
    "conv5_2=tf.keras.layers.Conv2D(512,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv5_2')(conv5_1)\n",
    "conv5_3=tf.keras.layers.Conv2D(512,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv5_3')(conv5_2)\n",
    "\n",
    "conv5_3=tf.ab\n",
    "\n",
    "pool5=tf.keras.layers.MaxPooling2D(pool_size=(2,2),strides=2,name='pool5')(conv5_3)\n",
    "pool5=tf.keras.layers.AveragePooling2D(pool_size=2)(pool5)\n",
    "\n",
    "model_vgg16=tf.keras.models.Model(inputs=input,outputs=pool5)\n",
    "model_vgg16.summary()\n",
    "tf.keras.utils.plot_model(model_vgg16,to_file='model_vgg16.png',show_shapes=True,expand_nested=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# model.get_layer('conv1_1').get_weights()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "class_num=1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model_8\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input (InputLayer)           [(None, 224, 224, 3)]     0         \n",
      "_________________________________________________________________\n",
      "conv1_1 (Conv2D)             (None, 224, 224, 64)      1792      \n",
      "_________________________________________________________________\n",
      "conv1_2 (Conv2D)             (None, 224, 224, 64)      36928     \n",
      "_________________________________________________________________\n",
      "pool1 (MaxPooling2D)         (None, 112, 112, 64)      0         \n",
      "_________________________________________________________________\n",
      "conv2_1 (Conv2D)             (None, 112, 112, 128)     73856     \n",
      "_________________________________________________________________\n",
      "conv2_2 (Conv2D)             (None, 112, 112, 128)     147584    \n",
      "_________________________________________________________________\n",
      "pool2 (MaxPooling2D)         (None, 56, 56, 128)       0         \n",
      "_________________________________________________________________\n",
      "conv3_1 (Conv2D)             (None, 56, 56, 256)       295168    \n",
      "_________________________________________________________________\n",
      "conv3_2 (Conv2D)             (None, 56, 56, 256)       590080    \n",
      "_________________________________________________________________\n",
      "conv3_3 (Conv2D)             (None, 56, 56, 256)       590080    \n",
      "_________________________________________________________________\n",
      "pool3 (MaxPooling2D)         (None, 28, 28, 256)       0         \n",
      "_________________________________________________________________\n",
      "conv4_1 (Conv2D)             (None, 28, 28, 512)       1180160   \n",
      "_________________________________________________________________\n",
      "conv4_2 (Conv2D)             (None, 28, 28, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "conv4_3 (Conv2D)             (None, 28, 28, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "pool4 (MaxPooling2D)         (None, 14, 14, 512)       0         \n",
      "_________________________________________________________________\n",
      "conv5_1 (Conv2D)             (None, 14, 14, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "conv5_2 (Conv2D)             (None, 14, 14, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "conv5_3 (Conv2D)             (None, 14, 14, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "pool5 (MaxPooling2D)         (None, 7, 7, 512)         0         \n",
      "_________________________________________________________________\n",
      "flatten (Flatten)            (None, 25088)             0         \n",
      "_________________________________________________________________\n",
      "fc1 (Dense)                  (None, 4096)              102764544 \n",
      "_________________________________________________________________\n",
      "drop_out1 (Dropout)          (None, 4096)              0         \n",
      "_________________________________________________________________\n",
      "fc2 (Dense)                  (None, 4096)              16781312  \n",
      "_________________________________________________________________\n",
      "drop_out2 (Dropout)          (None, 4096)              0         \n",
      "_________________________________________________________________\n",
      "output (Dense)               (None, 1000)              4097000   \n",
      "=================================================================\n",
      "Total params: 138,357,544\n",
      "Trainable params: 138,357,544\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "input=tf.keras.layers.Input(shape=(224,224,3),name='input')\n",
    "\n",
    "conv1_1=tf.keras.layers.Conv2D(64,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv1_1')(input)\n",
    "conv1_2=tf.keras.layers.Conv2D(64,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv1_2')(conv1_1)\n",
    "pool1=tf.keras.layers.MaxPooling2D(pool_size=(2,2),strides=2,name='pool1')(conv1_2)\n",
    "\n",
    "conv2_1=tf.keras.layers.Conv2D(128,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv2_1')(pool1)\n",
    "conv2_2=tf.keras.layers.Conv2D(128,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv2_2')(conv2_1)\n",
    "pool2=tf.keras.layers.MaxPooling2D(pool_size=(2,2),strides=2,name='pool2')(conv2_2)\n",
    "\n",
    "conv3_1=tf.keras.layers.Conv2D(256,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv3_1')(pool2)\n",
    "conv3_2=tf.keras.layers.Conv2D(256,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv3_2')(conv3_1)\n",
    "conv3_3=tf.keras.layers.Conv2D(256,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv3_3')(conv3_2)\n",
    "pool3=tf.keras.layers.MaxPooling2D(pool_size=(2,2),strides=2,name='pool3')(conv3_3)\n",
    "\n",
    "conv4_1=tf.keras.layers.Conv2D(512,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv4_1')(pool3)\n",
    "conv4_2=tf.keras.layers.Conv2D(512,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv4_2')(conv4_1)\n",
    "conv4_3=tf.keras.layers.Conv2D(512,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv4_3')(conv4_2)\n",
    "pool4=tf.keras.layers.MaxPooling2D(pool_size=(2,2),strides=2,name='pool4')(conv4_3)\n",
    "\n",
    "\n",
    "conv5_1=tf.keras.layers.Conv2D(512,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv5_1')(pool4)\n",
    "conv5_2=tf.keras.layers.Conv2D(512,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv5_2')(conv5_1)\n",
    "conv5_3=tf.keras.layers.Conv2D(512,3,(1,1),padding='same',activation='relu',\n",
    "                               kernel_initializer=tf.keras.initializers.he_normal(),\n",
    "                               name='conv5_3')(conv5_2)\n",
    "pool5=tf.keras.layers.MaxPooling2D(pool_size=(2,2),strides=2,name='pool5')(conv5_3)\n",
    "\n",
    "flatten=tf.keras.layers.Flatten(name='flatten')(pool5)\n",
    "fc1=tf.keras.layers.Dense(4096,activation='relu',kernel_initializer=tf.keras.initializers.he_normal(),name='fc1')(flatten)\n",
    "drop1=tf.keras.layers.Dropout(0.5,name='drop_out1')(fc1)\n",
    "fc2=tf.keras.layers.Dense(4096,activation='relu',kernel_initializer=tf.keras.initializers.he_normal(),name='fc2')(drop1)\n",
    "drop2=tf.keras.layers.Dropout(0.5,name='drop_out2')(fc2)\n",
    "outputs=tf.keras.layers.Dense(class_num,activation='softmax',kernel_initializer=tf.keras.initializers.he_normal(),name='output')(drop2)\n",
    "\n",
    "model_vgg16_fc=tf.keras.models.Model(inputs=input,outputs=outputs)\n",
    "model_vgg16_fc.summary()\n",
    "tf.keras.utils.plot_model(model_vgg16_fc,to_file='model_vgg16_fc.png',show_shapes=True,expand_nested=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "512"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "128*4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12810"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "40*40*6+20*20*6+10*10*6+5*5*6+3*3*6+1*1*6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "M2Det"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 25,  48, 105, 163, 220, 278, 336])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array(np.array([0.08, 0.15, 0.33, 0.51, 0.69, 0.87, 1.05])*320,np.int32)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "SSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.1 , 0.2 , 0.37, 0.54, 0.71, 0.88, 1.05])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array([30,60,111,162,213,264,315])/300"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9600, 4)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.tile([1,2,3,4], (40*40*6, 1)).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12810"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "40*40*6+20*20*6+10*10*6+5*5*6+3*3*6+1*1*6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "encoded_boxes=np.ones((8,12810,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "best_iou = encoded_boxes[:, :, -1].max(axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12810,)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_iou.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  0,   1,   2,   3,   4,   5, 100])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pos=[0,1,2,3,4,5]\n",
    "pos=np.array(pos)\n",
    "all_pose=np.concatenate([pos,[100]],axis=0)\n",
    "all_pose"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "anchor_state=np.ones((8,12810))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "indices           = tf.where(tf.keras.backend.equal(anchor_state, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "ename": "InvalidArgumentError",
     "evalue": "slice index 0 of dimension 0 out of bounds. [Op:StridedSlice] name: strided_slice/",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mInvalidArgumentError\u001b[0m                      Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-40-a9b4fa03e497>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mindices\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mD:\\anaconda\\lib\\site-packages\\tensorflow_core\\python\\ops\\array_ops.py\u001b[0m in \u001b[0;36m_slice_helper\u001b[1;34m(tensor, slice_spec, var)\u001b[0m\n\u001b[0;32m    811\u001b[0m         \u001b[0mellipsis_mask\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mellipsis_mask\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    812\u001b[0m         \u001b[0mvar\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mvar\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 813\u001b[1;33m         name=name)\n\u001b[0m\u001b[0;32m    814\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    815\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda\\lib\\site-packages\\tensorflow_core\\python\\ops\\array_ops.py\u001b[0m in \u001b[0;36mstrided_slice\u001b[1;34m(input_, begin, end, strides, begin_mask, end_mask, ellipsis_mask, new_axis_mask, shrink_axis_mask, var, name)\u001b[0m\n\u001b[0;32m    977\u001b[0m       \u001b[0mellipsis_mask\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mellipsis_mask\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    978\u001b[0m       \u001b[0mnew_axis_mask\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mnew_axis_mask\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 979\u001b[1;33m       shrink_axis_mask=shrink_axis_mask)\n\u001b[0m\u001b[0;32m    980\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    981\u001b[0m   \u001b[0mparent_name\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda\\lib\\site-packages\\tensorflow_core\\python\\ops\\gen_array_ops.py\u001b[0m in \u001b[0;36mstrided_slice\u001b[1;34m(input, begin, end, strides, begin_mask, end_mask, ellipsis_mask, new_axis_mask, shrink_axis_mask, name)\u001b[0m\n\u001b[0;32m  10370\u001b[0m       \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m  10371\u001b[0m         \u001b[0mmessage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmessage\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m> 10372\u001b[1;33m       \u001b[0m_six\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mraise_from\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_core\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_status_to_exception\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcode\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m  10373\u001b[0m   \u001b[1;31m# Add nodes to the TensorFlow graph.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m  10374\u001b[0m   \u001b[1;32mif\u001b[0m \u001b[0mbegin_mask\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\anaconda\\lib\\site-packages\\six.py\u001b[0m in \u001b[0;36mraise_from\u001b[1;34m(value, from_value)\u001b[0m\n",
      "\u001b[1;31mInvalidArgumentError\u001b[0m: slice index 0 of dimension 0 out of bounds. [Op:StridedSlice] name: strided_slice/"
     ]
    }
   ],
   "source": [
    "indices[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tf.Tensor: id=37, shape=(), dtype=int32, numpy=102480>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tf.keras.backend.shape(indices)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TensorShape([8, 12810])"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tf.keras.backend.equal(anchor_state, 1).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "102480"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "8*12810"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.python.ops import array_ops"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred=np.ones((100,10),dtype=np.float32)\n",
    "y_pred=tf.cast(y_pred,tf.float32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "zeros = array_ops.zeros_like(y_pred, dtype=y_pred.dtype)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tf.Tensor: id=41, shape=(100, 10), dtype=float32, numpy=\n",
       "array([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
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